Using information layers for mapping grassland habitat distribution at local to regional scales
(2015) In International Journal of Applied Earth Observation and Geoinformation 37. p.83-89- Abstract
The Natura 2000 network of protected sites is one of the means to enable biodiversity conservation in Europe. EU member states have to undertake surveillance of habitats and species of community interest protected under the Habitat Directive. Remote sensing techniques have been applied successfully to monitor biodiversity aspects according to Natura 2000, but many challenges remain in assessing dynamics and habitat changes outside protected sites. Grasslands are among the most threatened habitats in Europe. In this paper we tested the integration of expert knowledge into different standard classification approaches to map grassland habitats in Schleswig Holstein, Germany. Knowledge about habitat features is represented as raster... (More)
The Natura 2000 network of protected sites is one of the means to enable biodiversity conservation in Europe. EU member states have to undertake surveillance of habitats and species of community interest protected under the Habitat Directive. Remote sensing techniques have been applied successfully to monitor biodiversity aspects according to Natura 2000, but many challenges remain in assessing dynamics and habitat changes outside protected sites. Grasslands are among the most threatened habitats in Europe. In this paper we tested the integration of expert knowledge into different standard classification approaches to map grassland habitats in Schleswig Holstein, Germany. Knowledge about habitat features is represented as raster information layers, and used in subsequent grassland classifications. Overall classification accuracies were highest for the maximum likelihood and support vector machine approaches using RapidEye time series, but results improved for specific grassland classes when information layers were included in the classification process.
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- author
- Buck, Oliver ; Millán, Virginia E.Garcia LU ; Klink, Adrian and Pakzad, Kian
- publishing date
- 2015-01-01
- type
- Contribution to journal
- publication status
- published
- keywords
- Article 17 reporting, Biodiversity monitoring, Grassland, Habitat directive, Information layer, Natura 2000
- in
- International Journal of Applied Earth Observation and Geoinformation
- volume
- 37
- pages
- 7 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:84926369197
- ISSN
- 1569-8432
- DOI
- 10.1016/j.jag.2014.10.012
- language
- English
- LU publication?
- no
- id
- 13863540-80f7-4822-88d7-aec8334cad6e
- date added to LUP
- 2019-06-12 12:09:47
- date last changed
- 2022-04-10 18:14:17
@article{13863540-80f7-4822-88d7-aec8334cad6e, abstract = {{<p>The Natura 2000 network of protected sites is one of the means to enable biodiversity conservation in Europe. EU member states have to undertake surveillance of habitats and species of community interest protected under the Habitat Directive. Remote sensing techniques have been applied successfully to monitor biodiversity aspects according to Natura 2000, but many challenges remain in assessing dynamics and habitat changes outside protected sites. Grasslands are among the most threatened habitats in Europe. In this paper we tested the integration of expert knowledge into different standard classification approaches to map grassland habitats in Schleswig Holstein, Germany. Knowledge about habitat features is represented as raster information layers, and used in subsequent grassland classifications. Overall classification accuracies were highest for the maximum likelihood and support vector machine approaches using RapidEye time series, but results improved for specific grassland classes when information layers were included in the classification process.</p>}}, author = {{Buck, Oliver and Millán, Virginia E.Garcia and Klink, Adrian and Pakzad, Kian}}, issn = {{1569-8432}}, keywords = {{Article 17 reporting; Biodiversity monitoring; Grassland; Habitat directive; Information layer; Natura 2000}}, language = {{eng}}, month = {{01}}, pages = {{83--89}}, publisher = {{Elsevier}}, series = {{International Journal of Applied Earth Observation and Geoinformation}}, title = {{Using information layers for mapping grassland habitat distribution at local to regional scales}}, url = {{http://dx.doi.org/10.1016/j.jag.2014.10.012}}, doi = {{10.1016/j.jag.2014.10.012}}, volume = {{37}}, year = {{2015}}, }